Predictions / Football / World. CONCACAF Nations League / St. Vincent / Grenadines vs French Guyana

Prediction Audit: St. Vincent / Grenadines vs French Guyana Prediction, Odds & AI Betting Tips

Sep 26, 2026 - 21:00
2 1.39
1 1.21
xG Accuracy: 80%

AI correctly predicted the St. Vincent / Grenadines win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade F

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 St. Vincent / Grenadines St. Vincent / Grenadines ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: French Guyana -4.7 pp

Outcome Model Closing Market Difference Signal
St. Vincent / Grenadines 39.5% 37.1% +2.3 pp Aligned
Draw 29.5% 27.1% +2.4 pp Aligned
French Guyana 31.0% 35.7% -4.7 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the model's directional lean matched the result (St. Vincent / Grenadines win 2–1).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The model's directional lean matched the full-time result (St. Vincent / Grenadines win 2–1).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Sep 26, 2026 · 20:59 UTC Forecast generated
    • Model 1X2 · St. Vincent / Grenadines 39.5% · Draw 29.5% · French Guyana 31.0%
    • xG · St. Vincent / Grenadines 1.39 — French Guyana 1.21
  2. Sep 26, 2026 · 20:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · St. Vincent / Grenadines 2.34 · Draw 3.20 · French Guyana 2.43
    • Implied 1X2 · St. Vincent / Grenadines 37.1% · Draw 27.1% · French Guyana 35.7%
    • Bookmaker · SBO
  3. Sep 26, 2026 · 20:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · St. Vincent / Grenadines 2.34 · Draw 3.20 · French Guyana 2.43
    • Implied 1X2 · St. Vincent / Grenadines 37.1% · Draw 27.1% · French Guyana 35.7%
    • Bookmaker · SBO
  4. Sep 26, 2026 · 21:00 UTC Kickoff
  5. FT Full-time result St. Vincent / Grenadines win · 2–1
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 76/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 03:06 UTC Snapshot ID: dp-10120274

Closing Odds 2.43
AI Fair Odds —
CLV Pending
Final Result St. Vincent / Grenadines win · St. Vincent / Grenadines 2–1 French Guyana
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: CONCACAF Nations League
  • Fixture: St. Vincent / Grenadines vs French Guyana
  • Kickoff: 2026-09-26 21:00:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): St. Vincent / Grenadines 1.39 — French Guyana 1.21 (total xG ≈ 2.6)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 51.8% · Implied: 44.2% · Probability edge: +7.6 pts · Est. EV: +14.5%
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 30, 2026 (UTC)

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